CN109063604A - A kind of face identification method and terminal device - Google Patents
A kind of face identification method and terminal device Download PDFInfo
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- CN109063604A CN109063604A CN201810777461.8A CN201810777461A CN109063604A CN 109063604 A CN109063604 A CN 109063604A CN 201810777461 A CN201810777461 A CN 201810777461A CN 109063604 A CN109063604 A CN 109063604A
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G06Q20/00—Payment architectures, schemes or protocols
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Abstract
The embodiment of the present invention provides a kind of face identification method and terminal device, which includes: to obtain facial image to be identified；Specified detection operation is executed to the facial image, the specified detection operation includes at least one of Glasses detection, occlusion detection and face's quality evaluation detection；When the testing result exception of the specified detection operation, executes and operated with the matched prompting of the testing result.
Description
Technical field
This specification embodiment is related to technical field of face recognition more particularly to a kind of face identification method and terminal is set
It is standby.
Background technique
With the rapid development of various payment technologies, in order to greatly simplify payment process, face payment is come into being.Face
Payment is a kind of emerging electronic payment mode, which consists of two parts: recognition of face login user wallet account
Number and withhold from wallet and complete payment process.Wherein, the process of recognition of face login user wallet account is scanning and/or claps
The face picture for taking the photograph user the face picture is compared with the picture of keeping on file in the wallet account of user, to complete user
The identification and veritification of identity complete the process of payment to complete to withhold from wallet.But the current face means of payment,
During scanning and/or shooting the face picture of user, there can be the factor of many face pictures for influencing user, thus
Influence the authentication and payment success rate of user.
Summary of the invention
This specification embodiment provides a kind of face identification method and terminal device, influence for identification facial image because
Element, it is ensured that the success rate of user identity authentication and face payment is carried out using facial image.
This specification embodiment adopts the following technical solutions:
In a first aspect, providing a kind of face identification method, comprising:
Obtain facial image to be identified；
Specified detection operation is executed to the facial image, the specified detection operation includes Glasses detection, occlusion detection
And at least one of face's quality evaluation detection；
When the testing result exception of the specified detection operation, executes and operated with the matched prompting of the testing result.
Second aspect provides a kind of terminal device, comprising:
Module is obtained, for obtaining facial image to be identified；
First execution module, for executing specified detection operation to the facial image, the specified detection operation includes
At least one of Glasses detection, occlusion detection and face's quality evaluation detection；
Second execution module, for executing and being tied with the detection when the testing result exception of the specified detection operation
The matched prompting operation of fruit.
The third aspect provides a kind of terminal device, comprising: memory, processor and is stored on the memory simultaneously
The computer program that can be run on the processor realizes following step when the computer program is executed by the processor
It is rapid:
Obtain facial image to be identified；
Specified detection operation is executed to the facial image, the specified detection operation includes Glasses detection, occlusion detection
And at least one of face's quality evaluation detection；
When the testing result exception of the specified detection operation, executes and operated with the matched prompting of the testing result.
Fourth aspect provides a kind of computer readable storage medium, is stored on the computer readable storage medium
Computer program, the computer program realize following steps when being executed by processor:
Obtain facial image to be identified；
Specified detection operation is executed to the facial image, the specified detection operation includes Glasses detection, occlusion detection
And at least one of face's quality evaluation detection；
When the testing result exception of the specified detection operation, executes and operated with the matched prompting of the testing result.
At least one above-mentioned technical solution used in the embodiment of the present invention can reach it is following the utility model has the advantages that
For the embodiment of the present invention by executing specified detection operation to facial image, which includes that glasses are examined
At least one of survey, occlusion detection and face's quality evaluation detection.When the testing result exception of the specified detection operation, i.e.,
It can recognize the factor for influencing facial image, operated thereby executing with the matched prompting of testing result, so that user is according to prompting
It is adjusted to exclude to influence the factor of facial image, it is ensured that subsequent that user identity authentication and face are carried out using facial image
The success rate of payment.
In addition, execute and operated with the matched prompting of testing result when the testing result exception of specified detection operation, it can
Precisely guidance user is reduced or even removal influences the influence factor of facial image, to guarantee that subsequent user can smoothly complete entirely
Face payment flow promotes full link percent of pass.It is also to aid in the process that user's study is paid using face simultaneously, uses
Family is after the intelligence for experiencing face payment, as its unique user experience, is conducive to the universal of face payment.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes a part of the invention, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the face identification method flow chart that one embodiment of this specification provides；
Fig. 2 is that the practical application scene for the face identification method that one embodiment of this specification provides realizes schematic diagram；
Fig. 3 is the practical application scene implementation process signal for the face identification method that one embodiment of this specification provides
Figure；
Fig. 4 is that the practical application scene for the face identification method that one embodiment of this specification provides realizes system frame
Figure；
Fig. 5 is one of the structural block diagram of terminal device that one embodiment of this specification provides；
Fig. 6 is the two of the structural block diagram for the terminal device that one embodiment of this specification provides.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with the specific embodiment of the invention and
Technical solution of the present invention is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the present invention one
Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
The embodiment of the present invention provides a kind of face identification method and terminal device, influence for identification facial image because
Element, it is ensured that the success rate of user identity authentication and face payment is carried out using facial image.The embodiment of the present invention provides one kind
Face identification method, the executing subject of this method can be, but not limited to terminal device or can be configured as executing of the invention real
The device or system of this method of example offer is provided.
For ease of description, hereafter executing subject in this way is to be able to carry out for the terminal device of this method, to this
The embodiment of method is introduced.It is appreciated that it is that one kind is illustratively said that the executing subject of this method, which is terminal device,
It is bright, it is not construed as the restriction to this method.
Fig. 1 is the flow chart of face identification method provided in an embodiment of the present invention, and the method for Fig. 1 can be held by terminal device
Row, as shown in Figure 1, this method may include:
Step 110 obtains facial image to be identified.
The implementation of acquisition facial image to be identified can be obtains face to be identified by way of scanning
Image, alternatively, obtaining facial image to be identified by way of shooting.The embodiment of the present invention is not specifically limited.
Step 120 executes specified detection operation to the facial image.
Wherein, the specified detection operation include in Glasses detection, occlusion detection and face's quality evaluation detection at least
It is a kind of.
The Glasses detection can be understood as glasses reflection detection and/or big frame Glasses detection.
Certainly, Glasses detection can also be the detection on any glasses that can influence Image Acquisition in the prior art,
The embodiment of the present invention is not especially limited.
The occlusion detection can be understood as the detection blocked to face.
Face's quality evaluation detection can be understood as the detection such as the fuzziness to face, light intensity.
Step 130, when the testing result exception of the specified detection operation, execute and the testing result is matched mentions
It wakes up and operates.
The testing result needs to be determined according to specified detection operation.
For example, testing result can be reflective testing result if specified detection operation is Glasses detection；If specified detection
Operation is occlusion detection, then testing result can be occlusion detection result；If specified detection operation is that face's quality evaluation detects,
Then testing result can be face's quality evaluation testing result.
The testing result of the specified detection operation is abnormal, it will be appreciated that if being testing result is numerical value, which is greater than threshold value,
Then determine that testing result is abnormal；It is on the contrary, it is determined that testing result is normal.
Illustratively, above-mentioned example is continued to use, if testing result is reflective testing result, which is reflective general
Rate, and the reflective probability is greater than threshold value, it is determined that reflective testing result is abnormal；If testing result is occlusion detection as a result, the screening
Gear testing result is to block probability, and this blocks probability greater than threshold value, it is determined that occlusion detection results abnormity；If testing result is
Face's quality evaluation testing result, which is quality problems probability, and the quality problems probability is big
In threshold value, it is determined that face's quality evaluation testing result is abnormal.Wherein, which can be according to the practical feelings of practical application scene
Condition determines that the embodiment of the present invention is it is not limited here.
Prompting operation needs according to testing result to determine.
Above-mentioned example is continued to use, if testing result is reflective testing result, reminds operation that can remove eye for prompting user
The operation of mirror；If testing result be occlusion detection as a result, if remind that operation can be that user is reminded to remove the operation blocked；If inspection
Survey result is face's quality evaluation testing result, then reminds operation that can adjust the operation of image capturing angle for prompting user.
Illustratively, if face's quality evaluation testing result obscures to be out of focus, focusing is carried out when user being reminded to take pictures；If
Face's quality evaluation testing result is motion blur, then not shake when reminding user to take pictures；If face's quality evaluation detection knot
Fruit is insufficient light, then reminds user to open headlamp or the position of well lighted is selected to take pictures.
For the embodiment of the present invention by executing specified detection operation to facial image, which includes that glasses are examined
At least one of survey, occlusion detection and face's quality evaluation detection.When the testing result exception of the specified detection operation, i.e.,
It can recognize the factor for influencing facial image, operated thereby executing with the matched prompting of testing result, so that user is according to prompting
It is adjusted to exclude to influence the factor of facial image, it is ensured that subsequent that user identity authentication and face are carried out using facial image
The success rate of payment.
In addition, execute and operated with the matched prompting of testing result when the testing result exception of specified detection operation, it can
Precisely guidance user is reduced or even removal influences the influence factor of facial image, to guarantee that subsequent user can smoothly complete entirely
Face payment flow promotes full link percent of pass.It is also to aid in the process that user's study is paid using face simultaneously, uses
Family is after the intelligence for experiencing face payment, as its unique user experience, is conducive to the universal of face payment.
Optionally, as one embodiment, if the specified detection operation is Glasses detection, step 120 specifically can be real
It is existing are as follows:
Using the facial image as the input of reflective detection model, with the reflective testing result exported；
Wherein, the reflective detection model is based on predetermined quantity with reflective facial image sample and/or without anti-
What the facial image sample training of light obtained.
Wherein, it is described with reflective facial image sample may include glasses reflection facial image sample and have it is black
At least one of facial image sample of frame glasses；The facial image sample of the no-reflection may include wearing common eye
At least one of facial image sample and the facial image sample of glasses-free of mirror.
It is assumed that with reflective facial image sample include glasses reflection facial image sample and have black surround frame glasses
Facial image sample, the facial image sample of no-reflection include wear common spectacles facial image sample and glasses-free people
Face image sample.
In this step, which obtains can be with are as follows: firstly, probably including 4 class facial images in training data
Sample, respectively the facial image sample of glasses reflection, wear common spectacles at the facial image sample with black surround frame glasses
The facial image sample of facial image sample and glasses-free chooses a thousand sheets image respectively under same category；Then, pass through 4
Each thousand sheets facial image sample training of a classification obtains reflective detection model.Wherein, how to pass through each the 1000 of 4 classifications
It opens facial image sample training and obtains reflective detection model, belong to the prior art, the embodiment of the present invention repeats no more.
The embodiment of the present invention passes through the face figure with reflective facial image sample and/or no-reflection of predetermined quantity
It is anti-with what is exported as sample training obtains reflective detection model, then using facial image as the input of reflective detection model
Light detection as a result, according to reflective testing result determine the facial image with the presence or absence of reflective factor, effectively prevent acquisition
Facial image is influenced by reflective factor, and then is ensured subsequent using facial image progress user identity authentication and face branch
The success rate paid.
Optionally, as one embodiment, the specified detection operation is occlusion detection, then step 120 specifically can be achieved
Are as follows:
Using the facial image as the input of occlusion detection model, with the occlusion detection result exported；
Wherein, the occlusion detection model is based on predetermined quantity with the facial image sample blocked and/or without screening
What the facial image sample training of gear obtained.
Wherein, described with the facial image sample blocked may include facial image sample, fringe that hand blocks face
It keeps off in the facial image sample of the facial image sample of face, the facial image sample of cap gear face and mask gear face extremely
Few one kind.
It is assumed that having the facial image sample blocked includes that hand blocks the facial image sample of face, fringe gear face
The facial image sample of facial image sample, the facial image sample of cap gear face and mask gear face.
In this step, which obtains can be with are as follows: firstly, probably including 5 class facial images in training data
Sample, respectively hand block the face of the facial image sample of face, the facial image sample of fringe gear face, cap gear face
The facial image sample and unobstructed facial image sample of image pattern, mask gear face, choose respectively under same category
One thousand sheets image；Then, occlusion detection model is obtained by each thousand sheets facial image sample training of 5 classifications.Wherein, such as
What obtains occlusion detection model by each thousand sheets facial image sample training of 5 classifications, belongs to the prior art, and the present invention is real
Example is applied to repeat no more.
The embodiment of the present invention, by predetermined quantity with the facial image sample and/or unobstructed face figure blocked
As sample training obtains occlusion detection model, then using facial image as the input of occlusion detection model, with the screening exported
Testing result is kept off, determines that whether there is for the facial image blocks factor according to occlusion detection result, effectively prevents acquisition
Facial image is influenced by the factor of blocking, and then is ensured subsequent using facial image progress user identity authentication and face branch
The success rate paid.
Optionally, as one embodiment, if the specified detection operation is that face's quality evaluation detects, step 120
It is specific to can be achieved are as follows:
Using the facial image as the input of face's quality evaluation detection model, with the face's quality evaluation exported
Testing result；
Wherein, face's quality evaluation detection model be fuzzy facial image sample based on predetermined quantity and/or
Clearly facial image sample training obtains.
Wherein, the fuzzy facial image sample may include fuzzy facial image sample out of focus, motion blur
At least one of facial image sample and the facial image sample of insufficient light.
It is assumed that fuzzy facial image sample includes the facial image of fuzzy facial image sample out of focus, motion blur
The facial image sample of sample and insufficient light.
In this step, which obtains can be with are as follows: firstly, probably including 4 classes in training data
Facial image sample, the people of fuzzy facial image sample respectively out of focus, the facial image sample of motion blur, insufficient light
Face image sample and clearly facial image sample choose a thousand sheets image respectively under same category；Then, pass through 4 classes
Other each thousand sheets facial image sample training obtains face's quality evaluation detection model.Wherein, how to pass through each of 4 classifications
One thousand sheets facial image sample training obtains face's quality evaluation detection model, belongs to the prior art, the embodiment of the present invention is no longer
It repeats.
The embodiment of the present invention passes through the fuzzy facial image sample of predetermined quantity and/or clearly facial image sample
Training obtains face's quality evaluation detection model, then using facial image as the input of face's quality evaluation detection model, to obtain
To face's quality evaluation testing result of output, whether there is for the facial image is determined according to face's quality evaluation testing result
Insufficient light, movement or the factors such as out of focus, the facial image for effectively preventing acquisition is influenced by above-mentioned factor, and then is ensured
The subsequent success rate that user identity authentication and face payment are carried out using the facial image.
Optionally, as one embodiment, step 110 specifically be can be achieved are as follows:
The first step determines that the facial image of acquisition is located on terminal device in the view-finder of display interface；
Second step, if the ratio that the facial image region in the view-finder accounts for the entire display interface meets threshold
Value, it is determined that the facial image is facial image to be identified.
The threshold value can be arranged according to actual needs, and the embodiment of the present invention is not especially limited.The threshold value and above-mentioned implementation
Threshold value described in example can be the same or different.
When it is implemented, the first step specifically can be achieved are as follows: be in advance based on facial image sample training and obtain Face datection mould
Type；Using facial image as the input of Face datection model, with the Face datection result exported；If the face testing result
Normally, it is determined that the facial image is located on terminal device in the view-finder of display interface；If the face testing result is abnormal,
It reminds user to execute and resurveys facial image operation.
Illustratively, if Face datection result is the area coordinate of facial image, judge whether the area coordinate falls into
In the corresponding coordinate set of preset view-finder；If so, determining that the facial image is located at display interface on terminal device
In view-finder；If it is not, then reminding user that face is put into view-finder and resurvey the operation of facial image, such as Fig. 2
It is shown.
Before executing second step, further include；
Third step obtains the area coordinate of the facial image region；
4th step, the size based on the area coordinate and the entire display interface determine the facial image place
Accounting of the region in the entire display interface.
Supplement is needed exist for, if the facial image region in the view-finder accounts for the entire display interface
Ratio is unsatisfactory for threshold value, then user is reminded to execute adjustment operation.
The embodiment of the present invention, by determining that the facial image of acquisition is located on terminal device in the view-finder of display interface,
If the ratio that the facial image region in the view-finder accounts for entire display interface meets threshold value, it is determined that facial image be to
The facial image of identification specifies detection operation to provide premise, it is ensured that people to be identified for subsequent execute to the facial image
The quality of face image.
Optionally, as one embodiment, when the testing result of the specified detection operation is normal, the embodiment of the present invention
The face identification method of offer can also include:
Execute next specified detection operation after the specified detection operation, it will be appreciated that be, when Glasses detection is corresponding
Reflective testing result it is normal when, can be performed occlusion detection；When the corresponding occlusion detection result of occlusion detection is normal, can be performed
Face's quality evaluation detection.Wherein, the detection ordering of Glasses detection, occlusion detection and face's quality evaluation detection three can be
Arbitrarily, the embodiment of the present invention is without limitation.Alternatively,
The facial image to be identified is sent to identification terminal equipment, it will be appreciated that be, when the inspection of specified detection operation
When survey result is normal, facial image to be identified is sent to identification terminal equipment.The identification terminal equipment can be by the face figure
As being compared with pre-stored facial image, if the similarity value of the two is greater than predetermined value, it is determined that user identity is recognized
Card, which passes through and withholds from wallet, completes delivery operation.Wherein, predetermined value needs to be arranged according to actual needs, and the present invention is implemented
Example is not specifically limited.
Illustratively, which the facial image is compared with pre-stored facial image, specifically
Can be achieved be；Obtain the figure of the image information of the human face region of facial image and the human face region of pre-stored facial image
As information, two pieces of image information is compared, based on the similar features in two pieces of image information, determines facial image and in advance
The similarity value of the facial image of storage.Wherein, pre-stored facial image can be deposits in advance inside identification terminal equipment
The facial image corresponding with user's wallet account of storage is also possible to according to user identity corresponding with user's wallet account card number
Code, in the facial image that official's official website system obtains.
The embodiment of the present invention, when the testing result of specified detection operation is normal, under executing after specified detection operation
One specified detection operation, effectively eliminates influence factor present in facial image to be identified, it is ensured that people to be identified
The quality of face image provides guarantee for the subsequent success rate for carrying out user identity authentication and face payment using facial image.
In addition, facial image to be identified is sent to identification terminal when the testing result of specified detection operation is normal
Equipment is based on facial image to be identified by identification terminal equipment and carries out user identity authentication and face payment, it is ensured that uses
Facial image carries out the success rate of user identity authentication and face payment.
Below in conjunction with specific embodiments, the method for the embodiment of the present invention is further described.
Fig. 3 shows flow chart of the face identification method provided in an embodiment of the present invention under practical application scene；
Fig. 4 shows system block diagram of the face identification method provided in an embodiment of the present invention under practical application scene；
Illustratively, user's recognition of face login user wallet account carries out face payment, in conjunction with shown in Fig. 3 and Fig. 4:
User is prompted to input user mobile phone number on 310, terminal device 1.User's input handset number on terminal device 1
Afterwards, which is sent to identification terminal equipment by terminal device 1.
320, identification terminal equipment 2 receives user mobile phone number, and searches user's wallet account based on user mobile phone number,
If finding, step 330 is executed；Otherwise, step 340 is executed.
340, identification terminal equipment 2 prompts user to carry out new user's registration.
330, terminal device 1 acquires facial image.
350, terminal device 1 determines whether the facial image is facial image to be identified；If so, thening follow the steps
360；If it is not, thening follow the steps 330.
Wherein, terminal device 1 determines whether the facial image is facial image to be identified, and specific implementation can be participated in
The related content in embodiment is stated, the embodiment of the present invention repeats no more.
360, terminal device 1 executes specified detection operation to facial image, which is Glasses detection.When
When the testing result exception of the specified detection operation, step 361 is executed；When the testing result of the specified detection operation is normal
When, execute step 370 or 390.
361, terminal device 1 is executed to be operated with the matched prompting of testing result, illustratively, user is reminded to take eye
Mirror.
370, terminal device 1 executes specified detection operation to facial image, which is occlusion detection.When
When the testing result exception of the specified detection operation, step 371 is executed；When the testing result of the specified detection operation is normal
When, execute step 380 or 390.
371, terminal device 1 is executed to be operated with the matched prompting of testing result, illustratively, is reminded user to remove and is hidden
Gear.
380, terminal device 1 executes specified detection operation to facial image, which is that face's quality is commented
Estimate detection.When the testing result exception of the specified detection operation, step 381 is executed；When the inspection of the specified detection operation
When survey result is normal, step 390 is executed.
381, terminal device 1 is executed to be operated with the matched prompting of testing result, illustratively, reminds adjustment Image Acquisition
Angle.
390, the facial image to be identified that 2 receiving terminal apparatus 1 of identification terminal equipment is sent, and by the facial image
It is compared with pre-stored facial image；If the similarity of the two is greater than predetermined value, 391 are executed；If it is not, executing step
Rapid 330.
391, user identity authentication, which passes through and withholds from wallet, completes delivery operation.
For the embodiment of the present invention by executing specified detection operation to facial image, which includes that glasses are examined
At least one of survey, occlusion detection and face's quality evaluation detection.When the testing result exception of the specified detection operation, i.e.,
It can recognize the factor for influencing facial image, operated thereby executing with the matched prompting of testing result, so that user is according to prompting
It is adjusted to exclude to influence the factor of facial image, it is ensured that subsequent that user identity authentication and face are carried out using facial image
The success rate of payment.
In addition, execute and operated with the matched prompting of testing result when the testing result exception of specified detection operation, it can
Precisely guidance user is reduced or even removal influences the influence factor of facial image, to guarantee that subsequent user can smoothly complete entirely
Face payment flow promotes full link percent of pass.It is also to aid in the process that user's study is paid using face simultaneously, uses
Family is after the intelligence for experiencing face payment, as its unique user experience, is conducive to the universal of face payment.
More than, the face identification method of the embodiment of the present invention is described in detail in conjunction with Fig. 1 to Fig. 4, in the following, in conjunction with Fig. 5, in detail
Describe the terminal device of the bright embodiment of the present invention in detail.
Fig. 5 shows the structural schematic diagram of terminal device provided in an embodiment of the present invention, as shown in figure 5, the terminal device
500 may include:
Module 510 is obtained, for obtaining facial image to be identified；
First execution module 520, for executing specified detection operation, the specified detection operation packet to the facial image
Include at least one of Glasses detection, occlusion detection and face's quality evaluation detection；
Second execution module 530, for executing and the detection when the testing result exception of the specified detection operation
As a result matched prompting operation.
In one embodiment, if specified detection operation is Glasses detection, first execution module 520 can be with
Include:
First input unit, it is anti-with what is exported for using the facial image as the input of reflective detection model
Light detection result；
Wherein, the reflective detection model is based on predetermined quantity with reflective facial image sample and/or without anti-
What the facial image sample training of light obtained.
In one embodiment, it is described with reflective facial image sample include glasses reflection facial image sample and
At least one of facial image sample with black surround frame glasses；The facial image sample of the no-reflection includes wearing commonly
At least one of facial image sample and the facial image sample of glasses-free of glasses.
In one embodiment, if specified detection operation is occlusion detection, first execution module 520 can be with
Include:
Second input unit, for using the facial image as the input of occlusion detection model, with the screening exported
Keep off testing result；
Wherein, the occlusion detection model is based on predetermined quantity with the facial image sample blocked and/or without screening
What the facial image sample training of gear obtained.
In one embodiment, described with the facial image sample blocked includes facial image sample that hand blocks face
Originally, the facial image sample of the facial image sample of fringe gear face, the facial image sample of cap gear face and mask gear face
At least one of this.
In one embodiment, if the specified detection operation is that face's quality evaluation detects, described first executes mould
Block 520 may include:
Third input unit, for using the facial image as the input of face's quality evaluation detection model, to obtain
Face's quality evaluation testing result of output；
Wherein, face's quality evaluation detection model be fuzzy facial image sample based on predetermined quantity and/or
Clearly facial image sample training obtains.
In one embodiment, the fuzzy facial image sample includes fuzzy facial image sample out of focus, movement
At least one of the facial image sample of fuzzy facial image sample and insufficient light.
In one embodiment, the acquisition module 510 may include:
First determination unit, for determining that the facial image of acquisition is located on terminal device in the view-finder of display interface；
Second determination unit, if accounting for the entire display interface for the facial image region in the view-finder
Ratio meets threshold value, it is determined that the facial image is facial image to be identified.
In one embodiment, the acquisition module 510 can also include:
Acquiring unit, for obtaining the area coordinate of the facial image region；
Third determination unit determines the people for the size based on the area coordinate and the entire display interface
Accounting of the face image region in the entire display interface.
In one embodiment, the terminal device can also include:
Third execution module 540, for executing the specified inspection when the testing result of the specified detection operation is normal
Survey next specified detection operation after operation；Alternatively,
Sending module 550, for the facial image to be identified to be sent to identification terminal equipment.
For the embodiment of the present invention by executing specified detection operation to facial image, which includes that glasses are examined
At least one of survey, occlusion detection and face's quality evaluation detection.When the testing result exception of the specified detection operation, i.e.,
It can recognize the factor for influencing facial image, operated thereby executing with the matched prompting of testing result, so that user is according to prompting
It is adjusted to exclude to influence the factor of facial image, it is ensured that subsequent that user identity authentication and face are carried out using facial image
The success rate of payment.
In addition, execute and operated with the matched prompting of testing result when the testing result exception of specified detection operation, it can
Precisely guidance user is reduced or even removal influences the influence factor of facial image, to guarantee that subsequent user can smoothly complete entirely
Face payment flow promotes full link percent of pass.It is also to aid in the process that user's study is paid using face simultaneously, uses
Family is after the intelligence for experiencing face payment, as its unique user experience, is conducive to the universal of face payment.
Fig. 6 is the structural schematic diagram for the terminal device that one embodiment of this specification provides.Referring to FIG. 6, in hardware
Level, the terminal device include processor, optionally further comprising internal bus, network interface, memory.Wherein, memory can
It can include memory, such as high-speed random access memory (Random-Access Memory, RAM), it is also possible to further include non-easy
The property lost memory (non-volatile memory), for example, at least 1 magnetic disk storage etc..Certainly, which is also possible to
Including hardware required for other business.
Processor, network interface and memory can be connected with each other by internal bus, which can be ISA
(Industry Standard Architecture, industry standard architecture) bus, PCI (Peripheral
Component Interconnect, Peripheral Component Interconnect standard) bus or EISA (Extended Industry Standard
Architecture, expanding the industrial standard structure) bus etc..The bus can be divided into address bus, data/address bus, control always
Line etc..Only to be indicated with a four-headed arrow in Fig. 6, it is not intended that an only bus or a type of convenient for indicating
Bus.
Memory, for storing program.Specifically, program may include program code, and said program code includes calculating
Machine operational order.Memory may include memory and nonvolatile memory, and provide instruction and data to processor.
Processor is from the then operation into memory of corresponding computer program is read in nonvolatile memory, in logical layer
The associated apparatus of resource increment object and resource object is formed on face.Processor executes the program that memory is stored, and specific
For performing the following operations:
Obtain facial image to be identified；
Specified detection operation is executed to the facial image, the specified detection operation includes Glasses detection, occlusion detection
And at least one of face's quality evaluation detection；
When the testing result exception of the specified detection operation, executes and operated with the matched prompting of the testing result.
For the embodiment of the present invention by executing specified detection operation to facial image, which includes that glasses are examined
At least one of survey, occlusion detection and face's quality evaluation detection.When the testing result exception of the specified detection operation, i.e.,
It can recognize the factor for influencing facial image, operated thereby executing with the matched prompting of testing result, so that user is according to prompting
It is adjusted to exclude to influence the factor of facial image, it is ensured that subsequent that user identity authentication and face are carried out using facial image
The success rate of payment.
In addition, execute and operated with the matched prompting of testing result when the testing result exception of specified detection operation, it can
Precisely guidance user is reduced or even removal influences the influence factor of facial image, to guarantee that subsequent user can smoothly complete entirely
Face payment flow promotes full link percent of pass.It is also to aid in the process that user's study is paid using face simultaneously, uses
Family is after the intelligence for experiencing face payment, as its unique user experience, is conducive to the universal of face payment.
Face identification method disclosed in the above-mentioned embodiment illustrated in fig. 1 such as this specification can be applied in processor, or
It is realized by processor.Processor may be a kind of IC chip, the processing capacity with signal.During realization, on
Each step for stating method can be completed by the integrated logic circuit of the hardware in processor or the instruction of software form.It is above-mentioned
Processor can be general processor, including central processing unit (Central Processing Unit, CPU), network processes
Device (Network Processor, NP) etc.；Can also be digital signal processor (Digital Signal Processor,
DSP), specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate
Array (Field-Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or crystalline substance
Body pipe logical device, discrete hardware components.It may be implemented or execute and is in this specification one or more embodiment disclosed
Each method, step and logic diagram.General processor can be microprocessor or the processor be also possible to it is any conventional
Processor etc..The step of method in conjunction with disclosed in this specification one or more embodiment, can be embodied directly in hardware decoding
Processor executes completion, or in decoding processor hardware and software module combination execute completion.Software module can position
In random access memory, flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register
In the storage medium of equal this fields maturation.The storage medium is located at memory, and processor reads the information in memory, in conjunction with it
Hardware completes the step of above method.
The terminal device can also carry out the face identification method of Fig. 1, and details are not described herein for this specification.
Certainly, other than software realization mode, other implementations are not precluded in the terminal device of this specification, such as
Logical device or the mode of software and hardware combining etc., that is to say, that the executing subject of following process flow is not limited to each
Logic unit is also possible to hardware or logical device.
This specification embodiment also provides a kind of computer readable storage medium, is stored on computer readable storage medium
Computer program, the computer program realize each process of above-mentioned each embodiment of the method when being executed by processor, and can reach
To identical technical effect, to avoid repeating, which is not described herein again.Wherein, the computer readable storage medium, it is such as read-only
Memory (Read-Only Memory, abbreviation ROM), random access memory (Random Access Memory, abbreviation
RAM), magnetic or disk etc..
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The system for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of system, the instruction system realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
There is also other identical elements in process, method, commodity or equipment.
The above is only the embodiment of the present invention, are not intended to restrict the invention.To those skilled in the art,
The invention may be variously modified and varied.It is all within the spirit and principles of the present invention made by any modification, equivalent replacement,
Improve etc., it should be included within scope of the presently claimed invention.
Claims (13)
1. a kind of face identification method, comprising:
Obtain facial image to be identified；
Specified detection operation is executed to the facial image, the specified detection operation includes Glasses detection, occlusion detection and face
At least one of portion's quality evaluation detection；
When the testing result exception of the specified detection operation, executes and operated with the matched prompting of the testing result.
2. the method as described in claim 1 executes the facial image if the specified detection operation is Glasses detection
Specified detection operation, comprising:
Using the facial image as the input of reflective detection model, with the reflective testing result exported；
Wherein, the reflective detection model is that have reflective facial image sample and/or no-reflection based on predetermined quantity
Facial image sample training obtains.
3. method according to claim 2,
Described with reflective facial image sample includes the facial image sample of glasses reflection and people with black surround frame glasses
At least one of face image sample；The facial image sample of the no-reflection includes the facial image sample for wearing common spectacles
At least one of with the facial image sample of glasses-free.
4. the method as described in claim 1 executes the facial image if the specified detection operation is occlusion detection
Specified detection operation, comprising:
Using the facial image as the input of occlusion detection model, with the occlusion detection result exported；
Wherein, the occlusion detection model is based on predetermined quantity with the facial image sample that blocks and/or unobstructed
Facial image sample training obtains.
5. method as claimed in claim 4, described with the facial image sample blocked includes face figure that hand blocks face
Decent, the facial image sample of fringe gear face, the facial image sample of cap gear face and mask keep off the face figure of face
At least one of decent.
6. the method as described in claim 1, if the specified detection operation is that face's quality evaluation detects, to the face
Image executes specified detection operation, comprising:
Using the facial image as the input of face's quality evaluation detection model, with the face's quality evaluation detection exported
As a result；
Wherein, face's quality evaluation detection model is fuzzy facial image sample based on predetermined quantity and/or clear
Facial image sample training obtain.
7. method as claimed in claim 6, the fuzzy facial image sample include fuzzy facial image sample out of focus,
At least one of facial image sample and the facial image sample of insufficient light of motion blur.
8. the method as described in claim 1, described to obtain facial image to be identified, comprising:
Determine that the facial image of acquisition is located on terminal device in the view-finder of display interface；
If the ratio that the facial image region in the view-finder accounts for the entire display interface meets threshold value, it is determined that institute
Stating facial image is facial image to be identified.
9. method according to claim 8, the facial image region in the view-finder accounts for entire display circle
Before the ratio in face meets threshold value, further include；
Obtain the area coordinate of the facial image region；
Size based on the area coordinate and the entire display interface, determines the facial image region in entire institute
State the accounting of display interface.
10. the method as described in claim 1, the method also includes:
When the testing result of the specified detection operation is normal, next specified inspection after the specified detection operation is executed
Survey operation；Alternatively,
The facial image to be identified is sent to identification terminal equipment.
11. a kind of terminal device, comprising:
Module is obtained, for obtaining facial image to be identified；
First execution module, for executing specified detection operation to the facial image, the specified detection operation includes glasses
At least one of detection, occlusion detection and face's quality evaluation detection；
Second execution module, for executing and the testing result when the testing result exception of the specified detection operation
The prompting operation matched.
12. a kind of terminal device, comprising: memory, processor and be stored on the memory and can be on the processor
The computer program of operation, the computer program realize following steps when being executed by the processor:
Obtain facial image to be identified；
Specified detection operation is executed to the facial image, the specified detection operation includes Glasses detection, occlusion detection and face
At least one of portion's quality evaluation detection；
When the testing result exception of the specified detection operation, executes and operated with the matched prompting of the testing result.
13. a kind of computer readable storage medium, computer program, the meter are stored on the computer readable storage medium
Calculation machine program realizes following steps when being executed by processor:
Obtain facial image to be identified；
Specified detection operation is executed to the facial image, the specified detection operation includes Glasses detection, occlusion detection and face
At least one of portion's quality evaluation detection；
When the testing result exception of the specified detection operation, executes and operated with the matched prompting of the testing result.
Priority Applications (3)
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| TW108115547A TWI786291B (en) | 2018-07-16 | 2019-05-06 | Face recognition method, terminal device, and computer-readable storage medium |
| PCT/CN2019/090705 WO2020015477A1 (en) | 2018-07-16 | 2019-06-11 | Face recognition method and terminal device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810777461.8A CN109063604A (en) | 2018-07-16 | 2018-07-16 | A kind of face identification method and terminal device |
Publications (1)
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| CN109063604A true CN109063604A (en) | 2018-12-21 |
Family
ID=64816523
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| Application Number | Title | Priority Date | Filing Date |
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| CN201810777461.8A Pending CN109063604A (en) | 2018-07-16 | 2018-07-16 | A kind of face identification method and terminal device |
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| CN (1) | CN109063604A (en) |
| TW (1) | TWI786291B (en) |
| WO (1) | WO2020015477A1 (en) |
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| CN111126098A (en) * | 2019-12-24 | 2020-05-08 | 京东数字科技控股有限公司 | Certificate image acquisition method, device, equipment and storage medium |
| CN111126098B (en) * | 2019-12-24 | 2023-11-07 | 京东科技控股股份有限公司 | Certificate image acquisition method, device, equipment and storage medium |
| CN111915307A (en) * | 2020-07-02 | 2020-11-10 | 浙江恒科实业有限公司 | Contactless mobile payment system and method |
| CN111815790A (en) * | 2020-07-10 | 2020-10-23 | 成都智元汇信息技术股份有限公司 | Subway riding ticket checking method based on face recognition |
| TWI795724B (en) * | 2021-02-02 | 2023-03-11 | 神達數位股份有限公司 | An identity verification method and an identity verification system |
| CN113435400A (en) * | 2021-07-14 | 2021-09-24 | 世邦通信股份有限公司 | Screen-free face recognition calibration method and device, screen-free face recognition equipment and medium |
| CN113435400B (en) * | 2021-07-14 | 2022-08-30 | 世邦通信股份有限公司 | Screen-free face recognition calibration method and device, screen-free face recognition equipment and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| TW202006595A (en) | 2020-02-01 |
| WO2020015477A1 (en) | 2020-01-23 |
| TWI786291B (en) | 2022-12-11 |
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